Rémy Sail

Data Engineer

Salaire / Taux journalier

Lyon, France

Freelance, ouvert au CDI

Peut venir sur site

Expertises

AWSMachine LearningPythonReactDockerCybersécuritéScrapingCRM

Langues

Français (Maternelle)Anglais (Courant)

À propos

Introduction

I am a Data Engineer with a background in Cybersecurity and Data Science, holding an Engineering degree from ENSIBS (École Nationale Supérieure d’Ingénieurs de Bretagne Sud) and a technical degree in Computer Science focused on sensitive data from IUT de Lannion. Through my experience at Orange Cyberdefense and later at STEF IT, I have developed strong expertise in designing, building, and industrializing data pipelines in production environments. I have worked on end-to-end data workflows, from ingestion and transformation to orchestration and cloud deployment, with a strong emphasis on performance, scalability, and reliability. At Orange Cyberdefense, I contributed to the development of a complete data pipeline dedicated to security analytics, ensuring data quality, structuring large datasets, and supporting advanced analytical use cases. At STEF, I worked on AWS-based architectures to automate and optimize data processing from enterprise data warehouses, strengthening my expertise in cloud-native data engineering and scalable system design. My profile combines data engineering, cloud infrastructure, and analytical understanding, allowing me to design robust data platforms aligned with business needs. I am particularly interested in building scalable data architectures, optimizing data workflows, and contributing to high-impact, data-driven environments. I am currently seeking a full-time position as a Data Engineer where I can contribute to the design and industrialization of reliable, cloud-based data solutions while continuing to grow in complex and innovative technical environments.

Liens

Expérience de travail

Data Engineer

STEF

oct. 2025 - mars 2026

6 mois

At STEF IT, I contributed to the design and implementation of AWS-based data solutions aimed at automating and industrializing data processing workflows originating from the company’s Oracle In-Memory Data Warehouse. My responsibilities included building and optimizing cloud-native data pipelines to streamline data ingestion, transformation, and delivery processes. I worked on automating recurring data treatments to improve reliability, scalability, and operational efficiency across business units. In parallel, I developed web scraping solutions to collect and structure external market data, creating a dedicated database of tractor listings to support analytical and strategic use cases. Through these projects, I strengthened my expertise in cloud data engineering, automation, and production-ready architectures within a large-scale logistics environment.

Data Scientist

Orange Cyberdefense

août 2023 - août 2025

2 ans 1 mois

35510 Cesson-Sévigné, France

Worked as a Data Scientist within Orange Cyberdefense, a leading European cybersecurity services provider that delivers threat detection and response solutions through SOC and SIEM platforms. Contributed to the development of data-driven solutions for large-scale security event analysis. Built and maintained data pipelines for ingesting, processing, and structuring heterogeneous logs collected from SIEM systems used in security monitoring environments. Performed data cleaning, enrichment, and exploratory analysis to transform raw event logs into high-quality datasets suitable for machine learning and analytical workflows. Designed features capturing behavioral patterns in network and system activity to support anomaly detection and threat investigation. Developed and evaluated machine learning models to identify unusual behavior and suspicious events in security telemetry, helping reduce noise in large volumes of alerts generated in SOC environments. Created interactive dashboards and visual analytics tools to monitor activity trends, highlight anomalies, and support analysts during investigation workflows. Collaborated with cybersecurity analysts and engineers to interpret model outputs, refine detection logic, and integrate analytical components into operational monitoring pipelines. The project emphasized scalable data processing, modular architecture, and practical integration with existing security monitoring infrastructures.

System Administrator

Josselin Town Hall

oct. 2022 - août 2023

11 mois

56120 Josselin, France

Contributed to strengthening the information system security of the municipality by supporting the implementation of cybersecurity best practices and governance measures. Participated in assessing the security posture of the IT infrastructure and identifying areas for improvement to better protect municipal data and digital services. Developed and delivered cybersecurity awareness initiatives aimed at municipal staff to promote good security practices, reduce human-related risks, and improve overall cyber hygiene within the organization. Drafted and implemented an IT usage and security charter defining acceptable use policies, security rules, and user responsibilities regarding the municipal information system. This work supported the establishment of clearer governance and helped formalize security policies within the organization.

Full Stack Engineer

PFL Consulting

avr. 2022 - juil. 2022

4 mois

Conception, développement, déploiement et maintenance d’un site web, avec prise en charge intégrale de la relation client du cahier des charges jusqu’au déploiement du site internet.

Administrative Assistant

TRANSPORTS SAIL

juil. 2020 - oct. 2020

4 mois

56190 Muzillac, France

I served as an Administrative Assistant for several weeks, eventually replacing the administrative agent for a total of six weeks over multiple years. My responsibilities included handling data exploitation for the company and managing the computer-related tasks. This involved entering orders into software and processing them to enhance the overall efficiency of order management.


Formation

ENSIBS

Cybersecurity and Data Science Engineer, Data Science and Cybersecurity

2022 - 2025

3 ans 2 mois

Activités et associations : Club d'échecs, Donk'Esport

This engineering program combines computer science, statistics, artificial intelligence, and cybersecurity to train engineers capable of designing and securing modern data systems. The curriculum focuses on big data processing, machine learning, secure software systems, and large-scale data analysis. The program develops skills in: Data engineering and large-scale data processing Machine learning and artificial intelligence Secure system design and cybersecurity fundamentals Statistical modeling and data analysis Development of algorithms and data-driven applications Through project-based learning and industry collaboration, students learn to design, collect, structure, and analyze data while ensuring secure and reliable data systems.

IUT Lannion

DUT Informatique, Informatique

2020 - 2022

2 ans 1 mois

The DUT in Computer Science is a two-year university degree focused on the design, development, and maintenance of software applications. The program emphasizes practical programming skills, algorithmic thinking, and software engineering fundamentals. The curriculum combines lectures, tutorials, and hands-on practical work, with a strong focus on project-based learning and real-world software development. Key areas of study include: Algorithms and data structures Object-oriented programming Databases and SQL Software engineering and system design Operating systems and computer architecture Web development technologies The program prepares students to design and develop computer applications while understanding system architecture and software quality principles, with a strong emphasis on practical development experience.


Licences et certifications

Certificat Voltaire

Délivré le : avr. 2023

Certifié par Certificat Voltaire

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